135 results about "Electric power demand" patented technology

The invention provides an island energy system optimization scheduling method considering ammonia-to-electricity waste heat power generation, and the method employs an independent island integrated energy system containing an ammonia-to-electricity system to execute a weekly-day-intra-day multi-stage operation optimization scheduling strategy, and the independent island integrated energy system is a system considering the ammonia supply demand. Wind energy and solar energy are used as energy input, energy is supplied to seawater desalination equipment and an electricity-to-ammonia system, and the electric load requirements of island residents are met; meanwhile, seawater desalination equipment is used as a power demand response resource to increase the water-energy coupling relationship of the system model, and cross-time storage and utilization of fresh water resources are realized through a reservoir, so that an ammonia-hydrogen power ship which is used for meeting daily travel demands of island residents is used as an ammonia load; an electricity-to-ammonia system and an ammonia storage tank are adopted to realize effective consumption of island wind and light resources; according to the invention, the long-period energy supply reliability of the island can be improved, and the problem of uncertainty of wind energy and light energy resources of the island can be effectively solved.

The invention relates to the technical field of power supply systems, in particular to a distributed micro-grid power station system based on methanol fuel and a control method thereof.The distributed micro-grid power station system comprises a plurality of methanol generator sets arranged in parallel and an intelligent energy storage system, and the methanol generator sets are used for supplying power to loads; the intelligent energy storage system and the methanol generator set are connected in parallel through a bus, and the micro-grid control system controls the intelligent energy storage system to store redundant electric energy when the power demand is in the valley; and controlling the intelligent energy storage system to release electric energy so as to balance load fluctuation in a power demand peak. Complementation is formed through the methanol generator set and the energy storage system, the methanol generator set provides steady-state power, the energy storage system bears transient power to compensate the sudden power increasing gap of the methanol generator set, and the problems that the power of the methanol generator set cannot keep up due to the fact that the instantaneous power demand of loads such as a drilling platform is too large, and the energy consumption is low are solved. And the impact load is difficult to deal with independently.

The invention discloses a mountain wind power plant construction method based on a high-power wind generating set, and aims to solve the problems of large wind speed fluctuation and unstable power output in a mountain wind power plant. According to the method, the high-power wind generating set and the small wind power plant are reasonably arranged, risks caused by wind speed fluctuation are dispersed, meanwhile, a solar photovoltaic power generation system is combined, complementary power generation of wind energy and solar energy is achieved, and the overall power generation stability is improved. Through an intelligent scheduling system, in combination with real-time meteorological data and power grid load requirements, power generation output of wind power, solar energy and energy storage systems is optimized, and load balance and power supply stability of a power grid are improved. In addition, by configuring an energy storage system and providing standby power, it is ensured that the power requirement can still be met under the condition that the wind speed is low or illumination is insufficient. In the aspect of operation and maintenance, remote monitoring and unmanned aerial vehicle inspection technologies are combined, the operation and maintenance efficiency of the wind power plant is improved, and fault risks are reduced.

A facility for predicting on site electric power requirements for maintaining a fully electric fleet of vehicles in a mining operation to ensure sustainable electric operations, comprising a server comprising communications module configured to receive data and to transmit load management instructions; plurality of electrical charging stations; plurality of electric vehicles configured to be recharged by a selected electrical charging station; wherein the server comprises processor coupled with non-volatile memory, the non-volatile memory storing processing instructions that, when executed by the processor, causes the processor to simulate a total electrical power demand of the mine site due to the plurality of cabled mine equipment and the plurality of electric vehicles for each electric vehicle and each charging station within the facility over a prescribed period thereby to simulate and determine an energy storage capacity requirement of the charging stations of the facility through the prescribed period; thereby to forecast the electrical load management needs of the facility through the prescribed period.

The invention discloses a method and equipment for measuring and calculating the charging capacity of a battery swap station and a medium, and aims to solve the technical problems that the passenger flow volume and charging requirements in different time periods cannot be accurately predicted and the power requirements of battery swap and charging services cannot be balanced according to different operation habits and energy complementation habits of drivers in the prior art. The method comprises the steps of predicting a battery replacement demand of a battery replacement station in a preset time period; obtaining available electric power of the battery swap station and charging bin power of the battery swap station, and calculating residual charging capacity of the battery swap station in combination with the battery swap demand; and determining the number of openable charging piles of the battery swap station according to the residual charging capacity. According to the invention, the number of the openable charging piles can be flexibly adjusted according to the real-time data and the prediction result, so as to cope with the fluctuation and change of the battery replacement demand, and ensure the stable operation and efficient service of the battery replacement station.

The invention belongs to the field of thermoelectric unit thermoelectric decoupling, and discloses a fused salt energy storage system for thermoelectric decoupling of a power plant and a working method thereof, and the fused salt energy storage system comprises a fused salt electric heating subsystem, a fused salt heat storage subsystem and a fused salt-steam-water heat exchange subsystem which are connected in sequence. The fused salt electric heating subsystem is used for heating low-temperature fused salt by utilizing high-plant electric energy; the fused salt heat storage subsystem realizes high-temperature and low-temperature fused salt circulating transmission and high-temperature fused salt storage; and the fused salt-steam-water heat exchange subsystem exchanges heat with water through high-temperature fused salt to generate steam which is supplied to the corresponding mother pipe. Thermoelectric decoupling is achieved through fused salt energy storage, fused salt energy storage is not limited by geography, arrangement can be flexible, and power transmission loss is low. Energy is released during the peak of power demand and stored during the valley of power demand, so that the loss of a system power transmission network is effectively reduced, peak clipping and valley filling are realized, the peak regulation and difference adjustment capabilities of a power plant unit are enhanced, the flexible demand of peak-valley difference of a power grid can be better adapted, stable power supply of a region is ensured, and efficient utilization of energy is improved.

The invention discloses a hydrothermal power generation system scheduling optimization method based on transfer learning and a GAN, and the method comprises the steps: combining a randomly generated scheduling scheme population with an optimization scheduling scheme population of a previous power demand when a current power demand is a second power demand; obtaining an optimal scheduling scheme population of the current power demand on the basis of a non-dominated sorting genetic algorithm to perform hydrothermal power generation system scheduling, and when the current power demand is a third or more power demand, extracting experience of a historical optimal scheduling scheme population on the basis of a transfer learning thought; generating a new scheduling scheme population with historical experience in combination with a GAN (Generative Adversarial Network) and standard normal distribution, and obtaining an optimized scheduling scheme population of the current power demand through fusion and a non-dominated sorting genetic algorithm to schedule the hydrothermal power generation system; the invention has the advantage of high stability in balancing the total fuel cost of the minimum thermal power generator set and the emission load of the minimum thermal power generator set for the overall power demand.

The invention belongs to the technical field of light storage batteries, and particularly relates to an automatic plugging device for a light storage battery vehicle and an electricity utilization bin, which comprises a butt joint frame, an electricity utilization interface is arranged at the top of the front surface of the butt joint frame, a half connector is fixedly mounted on the inner side wall of the electricity utilization interface, and a plugging shell is fixedly mounted on the outer side of the electricity utilization interface. The outer cambered surface of the power utilization interface is sleeved with a conical shell, the middle section of the outer cambered surface of the conical shell is provided with an arc-shaped abutting surface, one end of the arc-shaped abutting surface close to the power utilization interface is provided with a bent section part, and the upper surface of the bent section part is placed in the inner side wall of the power utilization interface. Compared with a traditional manual plugging mode, the connection time is shortened, the operation efficiency is improved, and the automatic locking and sealing device is suitable for emergency power supply and other scenes with high response speed requirements and can quickly meet the power requirements of the power utilization bin.

The invention provides a micro-grid system supply and demand balance and green energy scheduling optimization method and system, which can accurately match the user side power demand and green energy production, and can call an energy storage system to release stored electric energy or buy electricity through a main power grid to complement power vacancy when there is a supply and demand electric quantity difference in a power generation trough and a power consumption peak period; in the peak period of solar power generation, photovoltaic electric energy is preferentially used for meeting the load requirement, when the total power generation amount is larger than the total power consumption amount, redundant power can be used for charging an energy storage device, efficient consumption of renewable energy sources is achieved, meanwhile, the stable and continuous characteristics of wind power generation are utilized, basic power is provided for loads in the whole time period day and night, and energy is saved. And in the solar valley stage and the load valley stage, the energy storage system is matched to carry out charging and discharging scheduling and stabilize power fluctuation, challenges caused by load peak-valley difference and renewable energy intermittency can be effectively handled through multi-energy cooperative control logic, and the reliability, economical efficiency and clean energy permeability of micro-grid operation are improved.

Changing electrical power needs for buildings often requires the upgrade of the electrical panel, the addition of extra panels, or both. Herein, a single electrical panel hosts power interface modules that connect to multiple power rails within the panel. The modules, which plug into the panel, convert power between the rails, or make and break connections between the rails, under the command of a system controller. The rails are connected to switchgear to which a variety of external power sources and loads can be connected. The modules are cooled by a heat exchanger and the waste heat may be directed outside or used to heat inside the building or heat domestic water.

An energy storage system includes a pneumatic vessel, a cable system attached to the vessel, a compressor for pressurizing the vessel, a generator attached to the cable system, a turboexpander generator for receiving compressed air from the vessel, and a control system. The system deflates and allows the vessel to sink in a body of water, inflates the vessel to store energy when an abundance of it exists, and allows the inflated vessel to resurface to release its buoyant energy to the generator via the cable system and to release compressed air to the turboexpander generator to generate electricity when electricity demand is high and / or electricity generation from other sources is low.

The present invention discloses a power optimization method and system for suppressing the load on a wind turbine transmission system. The method comprises: S1, obtaining the operating parameters of each wind turbine and establishing a wind turbine state-space equation; S2, using a power demand command as a boundary condition, upper and lower limits of the wind turbine active power output, and the angular velocity and torsional torque of the transmission system as constraints, and minimizing the variation of the transmission system angular acceleration and torsional torque as the objective function, to solve the active power reference value for each wind turbine based on the wind turbine state-space equation; S3, measuring the fatigue level of the transmission system based on historical operating data of each wind turbine, calculating a corresponding weight based on the fatigue level, and then correcting the active power reference value based on the weight to obtain the final active power command. The present invention can effectively suppress torsional vibration, improve fatigue damage to the transmission system, and enhance the safety and stability of wind turbine grid-connected operation.

A method and apparatus for generating electrical power, including providing a generator configured to generate a first voltage, providing a voltage converter configured to operably down-convert the first voltage output to a second voltage output to provide a first amount of power to a set of electrical loads, and changing a power demand for at least a subset of the set of electrical loads, wherein the changed power demand increases the power demanded. To meet the increased power demand, the voltage converter is controlled to operably down-convert the first voltage output to the second voltage output to provide a second amount of power to the set of electrical loads. The second amount of power is greater than the first amount of power. The power-generating capabilities of the generator are not modified between providing the first amount of power and providing the second amount of power.

A fully-submerged multi-stage Horizontally-oriented Conical-helical Hydrokinetic Turbine that captures water stream flows (river, tidal, deep ocean currents) and funnels this kinetic-rich concentrated flow into a conical turbine system consisting of a rotating arrangement of helical hydrofoil blades wherein the internal stream is forced to exit out through the frustum turbine blade assembly. With a higher Capacity Factor and Power Coefficient than conventional renewables, this turbine is designed to be an environmentally friendly baseload electricity generator to meet the ever-increasing electricity demands.

The invention relates to the technical field of electric energy management, in particular to a coordination control method of a direct-current charging pile and a direct-current micro-grid system.According to the coordination control method, dynamic changes of power requirements and power grid loads can be accurately mastered through classification and arrangement and fluctuation trend analysis of real-time data of the direct-current charging pile and the direct-current micro-grid system, and the real-time data of the direct-current charging pile and the direct-current micro-grid system can be obtained. And data support is provided for subsequent operation. Through sorting and priority adjustment of the charging tasks, the charging sequence between different charging piles is obviously optimized, and the charging resource conflict in the peak period is avoided. In the power distribution stage, the distributed charging power is optimized according to the real-time charging state in combination with a dynamic adjustment mechanism, the risk of power grid load fluctuation is reduced, and the overall operation efficiency is improved. Based on the optimal charging time period analysis of the game theory model, the time period selection advantages and disadvantages of the charging piles are determined through utility value calculation, and the unnecessary power grid pressure is avoided.

The invention belongs to the technical field of electric power, and discloses an industrial chain electricity consumption relation analysis method, system and device based on a convergence cross-mapping algorithm and a medium, and the method comprises the following steps: obtaining electricity consumption time sequence data of each industry; decomposing the time sequence data through a wavelet decomposition method to obtain multi-band power consumption data; performing multi-band causal analysis on the multi-band power consumption data through a convergence cross mapping method, and constructing a global causal relationship network matrix; constructing a power consumption conduction directed graph according to the global causal relationship network matrix to represent the power demand conduction relationship of each industry; and taking the electricity consumption conduction directed graph as input, and calculating actual electricity consumption according to the electricity demand conduction relation of each industry to obtain an industry chain electricity consumption evaluation result.

A grid management platform is disclosed for predicting and mitigating peak electricity demand events using probabilistic modeling and cost-optimized control. The system includes a likelihood model that evaluates the probability of each remaining day within an evaluation interval being the peak load day. This is achieved through a Monte Carlo simulation engine that generates multiple stochastic realizations of future load trajectories based on historical data, forecast data, and forecast error profiles derived from back testing. The system computes likelihood scores and classifies days using optimized bin thresholds that minimize operational cost, considering demand charges, available distributed energy resources, and forecast uncertainty. Based on the predicted likelihoods, the platform generates actionable insights and transmits control signals to grid-connected assets such as batteries, HVAC systems, and electric vehicle chargers to shift or reduce load during predicted peak periods.

A server is a server of an aggregator that requests a power-conditioning resource to participate in demand response for adjusting electric power demand-supply balance in a power grid. The power-conditioning resource includes a plurality of vehicles that is managed by a provider and used to provide a service thereof. The server includes a storage device and a processing device. The storage device is configured to store collection result information indicating results of participation of the vehicles in the demand response in a predetermined collection period. The processing device is configured to set an evaluation value indicating a degree of contribution of the provider to adjustment of electric power demand-supply balance based on the collection result information.

An energy storage system includes a pneumatic vessel, a cable system attached to the vessel, a compressor for pressurizing the vessel, a generator attached to the cable system, a turboexpander generator for receiving compressed air from the vessel, and a control system. The system deflates and allows the vessel to sink in a body of water, inflates the vessel to store energy when an abundance of it exists, and allows the inflated vessel to resurface to release its buoyant energy to the generator via the cable system and to release compressed air to the turboexpander generator to generate electricity when electricity demand is high and / or electricity generation from other sources is low.

An object of the present invention is to appropriately evaluate a temporally and spatially distributed and fluctuating electric power demand pattern, and accurately estimate a location and scale at which an electric power supply base needs to be installed. An information processing apparatus according to the present invention transforms electric power demand information into a demand function on a spatial axis, generates an integral kernel for evaluating a required supply amount, and estimates an installation location or required scale of an electric power supply point from a result of performing convolution on the demand function and the integral kernel.

The invention relates to the technical field related to power grid peak regulation, in particular to an energy storage peak regulation-CCS collaborative instant response device and a use method. According to the technical scheme, the output end of a motor is connected to an oil pipe valve through a pipeline and an air compressor, and a sleeve valve of the gas production tree is connected with a generator through a pipeline and a multi-stage turbo expander; a pneumatic cyclone, a packer and a gas injection valve are connected to the lower end of an oil pipe, a water layer is arranged between an underground cover layer and an underground bottom layer, a low-position casing perforation and a high-position casing perforation are arranged on a casing between the cover layer and the bottom layer, the low-position casing perforation is arranged below the water layer, and the high-position casing perforation is arranged between a gas-water interface and the cover layer. The system has the beneficial effects that the problems that a traditional compressed air energy storage system is high in investment cost and cannot deal with rapid change and uncertainty of power demands are solved; and meanwhile, the problem of recycling of abandoned oil well resources of an oil field is solved, geological storage of CO2 is achieved, and geothermal energy can be used for circularly taking heat.

An electrical grid system includes: a first obtaining controller that obtains the electric power demand or supply request information from the electric power transmission and distribution facility; a second obtaining controller that obtains an electric storage state information; a third obtaining controller that obtains a vehicle information of an electric vehicle; a supply and demand satisfaction level calculation controller that calculates a supply and demand satisfaction level based on the electric power demand or supply request information; a selection controller that selects an electric vehicle to be guided to the charge or discharge spot based on the vehicle information obtained by the third obtaining controller and the supply and demand satisfaction level calculated by the supply and demand satisfaction level calculation controller; and a communication controller that sends a guide information to the selected electric vehicle.

A power system for a tethered electric work machine. The power system includes an electric work machine input that receives power from a tether of the tethered electric work machine, a battery module to supply power to the power system, and a controller. The controller obtains an instantaneous electrical power demand for a motor of the tethered electric work machine and determines a moving average power demand for the motor based on a power supplied to the motor over a preceding predetermined time period. input Based on the moving average power demand, the controller controls the power system to supply power from the input to the battery module or supply power from the battery module to the motor based on a difference between the moving average power demand and the instantaneous electrical power demand for the motor.

This application discloses an appliance power decomposition method and storage medium. The method includes: collecting the raw current signal, total active power data, actual power data of the target appliance, and electricity consumption scenario information from the user's main electricity meter; extracting frequency domain feature vectors from the raw current signal, performing one-hot encoding on the electricity consumption scenario information to obtain scenario feature vectors, and normalizing the total active power data and actual power data; constructing a neural network model including a two-layer sliding window; inputting the processed data into the neural network model for training and updating the model parameters; inputting the bus observable signal at any time into the trained neural network model, and outputting the power decomposition result of the target appliance. The advantage of this application is that it improves the accuracy of appliance power decomposition, providing accurate data support for grid energy management and electricity demand response.

An electric power and electric quantity balancing method considering new energy direct current delivery energy storage comprises the steps that through analysis of historical meteorological data, hydrological data and load data, generating capacity and electric power requirements of wind energy, solar energy and hydropower are predicted respectively; based on real-time monitoring data of the energy storage system, state parameters of the energy storage system are evaluated; combining the prediction result and the energy storage state, establishing an electric power and electric quantity balance optimization scheduling model, and making a combined scheduling scheme of hydropower, wind power, photovoltaic power generation and energy storage by taking minimization of the operation cost and the direct current loss of the electric power system as a target; external operation data are obtained through a real-time monitoring system, a scheduling strategy is dynamically adjusted, and the rapid response capability of the system to sudden load fluctuation and new energy power generation uncertainty is guaranteed. According to the method disclosed by the invention, the power supply and demand balance of the power system in different time periods is realized by optimizing the regulation capability of water and electricity, dynamically managing the direct-current transmission energy storage and efficiently utilizing the new energy.

This invention discloses a user electricity consumption behavior classification method and system based on a hybrid clustering framework. The hybrid clustering framework is used to deeply mine user electricity consumption behavior. The first layer categorizes users into two classes based on whether they participate in electricity demand response: Class A and Class B. The second layer is a deep clustering layer, which further clusters the electricity consumption behavior of Class B users participating in demand response, resulting in four subcategories: Class B includes users participating in electricity demand response whose air conditioning operation events occur during the execution of the electricity demand response event; Class C includes users participating in electricity demand response whose electricity demand response events occur during the execution of the air conditioning operation event; Class D includes users participating in electricity demand response whose electricity demand response events occur first and end before the air conditioning operation event; and Class E includes users participating in electricity demand response whose air conditioning operation events occur first and end before the electricity demand response event. Finally, air conditioning operation control strategies are provided for each type of user participating in electricity demand response.

The utility model discloses a vehicle-mounted wind power generation device, which relates to the technical field of vehicle-mounted wind power generation and comprises a frame body, a plurality of first through holes are formed in the front end of the frame body, a plurality of second through holes are formed in the rear end of the frame body, and a hollow cylinder is mounted on the upper inner wall of the frame body. A power generation assembly is installed on the rear portion of the lower inner wall of the frame body, auxiliary parts are installed in the hollow cylinders, the power generation assembly is located on the rear sides of the auxiliary parts, and the auxiliary parts are used for increasing the wind speed of the power generation assembly. By arranging the auxiliary part, the wind speed of the first fan blade, the second fan blade and the third fan blade can be increased, a high rotating speed can be obtained at a low wind speed, it is guaranteed that the generator generates enough electric energy, and therefore electric energy output is increased, the electric power requirement of a vehicle for vehicle-mounted equipment in the running process of the vehicle is met, and the endurance of the vehicle is guaranteed.

The invention discloses a regional electric power carbon emission monitoring system, relates to the technical field of carbon emission monitoring, and solves the technical problem that in the prior art, when electric power control is performed on different regions, reasonable electric power configuration is not performed according to the electric power demand conditions of the regions, so that the resource cost is relatively high. According to the method, carbon emission data, power data and time data of different regions in a city are collected, carbon emission use states and carbon emission transmission states of the regions are obtained based on the carbon emission data in the regions, the carbon emission states are obtained through integration, and the power data and the time data are matched to obtain power demand data of the regions; the method comprises the following steps: acquiring a carbon emission state, acquiring a carbon emission monitoring state in combination with the carbon emission state, performing power distribution for urban areas according to the carbon emission monitoring state in the areas, sequencing the areas needing power supplementation to acquire urgent supplementation data and slow supplementation data, and integrating area power configuration data.

The embodiment of the invention provides a charging method and device for a battery in a vehicle, the vehicle and a computer readable storage medium, and the method comprises the steps: determining the working state of a photovoltaic cell panel in the vehicle in response to the vehicle being in a flameout state; in response to the working state, indicating that the photovoltaic cell panel is in a working mode, controlling the photovoltaic cell panel to charge a first battery in the vehicle, the first battery being used for supplying power to electrical equipment in the vehicle when the vehicle is in a flameout state; in the process that the photovoltaic cell panel charges the first cell, the charge state of the first cell and the charge state of a second cell in the vehicle are detected, and the second cell is used for supplying power to a function controller in the vehicle; determining a battery charging strategy of the vehicle based on the charge state of the first battery and the charge state of the second battery; and charging the second battery according to the battery charging strategy. The technical problem that in the related technology, when the state of charge of the power battery is low, the power requirement of the vehicle cannot be met is solved.

The present application relates to the technical field of power load prediction, in particular to a power demand medium-term prediction method based on multi-dimensional component decomposition, comprising: first, obtaining historical power load data of a target area and a multi-dimensional associated data set containing economic indicators, meteorological time series and date type information; performing complete ensemble empirical mode decomposition based on adaptive noise on the historical load data to obtain intrinsic mode components of different time scales; then performing feature extraction and synchronicity alignment on the associated data set to generate an associated feature set of each component time alignment; using an improved spatiotemporal graph convolution network which constructs a dynamic graph structure according to the component dynamics coupling relationship and dynamically updates the node connection weight according to the prediction error, jointly predicting the future sequence of each component and the corresponding associated feature to generate the power demand medium-term prediction result after aggregation. This method improves the fitting degree and accuracy of medium-term power demand prediction through fine decomposition and dynamic spatiotemporal modeling.